Modeling and Simulation of 3D systems

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.

Julia toolkit for open quantum system simulation.

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

A simple tool for simulating trapped ion systems

Simulation and visualization of articulated rigid body systems in Julia

Bayesian Generalized Linear models using `@formula` syntax.

A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality

DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations

Generalized mean-field equations in open quantum systems

Turing + Makie = Turkie

Global glacier model using Universal Differential Equations for climate-glacier interactions

Taylor-mode automatic differentiation for higher-order derivatives

An open-source framework written in Julia for global integrated assessment models.

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

High-performance simulations of the Porous Electrode Theory for Li-ion batteries

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.

An open source model predictive control package for Julia.

A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.

-

Rigorous function approximation using Taylor models in Julia

Darcy flow and reservoir simulator based on Jutul.jl

Atomic graph models for molecules and crystals in Julia

CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.

Conic Augmented Lagrangian Interior-Point SOlver

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

Choo-choo

Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.

A Power Flow Solver for GPUs in Julia

Functions to compute omnidirectional landscape connectivity using circuit theory and the Omniscape algorithm.

Differentiable trajectory optimization in Julia.

FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to place FMUs (fmi-standard.org) everywhere inside of your ML topologies and still keep the resulting model trainable with a standard (or custom) FluxML training process.

Robust and optimal design and analysis of linear control systems

Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks

Definition of dynamical systems and integrators for DynamicalSystems.jl

-

A Julia package for solving nonlinear differential equations using the harmonic balance method.